In this paper we propose the use of an adaptive multivariate approach to define time-varying multivariate estimators based on the Directed Transfer Function (DTF) and the Partial Directed Coherence (PDC). DTF and PDC are frequency-domain estimators that are able to describe interactions between cortical areas in terms of the concept of Granger causality. Time-varying DTF and PDC were obtained by the adaptive recursive fit of an MVAR model with time-dependent parameters, by means of a generalized recursive least-square (RLS) algorithm, taking into consideration a set of EEG epochs. Such estimators are able to follow rapid changes in the connectivity between cortical areas during an experimental task We provide an application to the cortical estimations obtained from high resolution EEG data, recorded from a group of healthy subject during a combined foot-tips movement, and present the time-varying connectivity patterns resulting from the application of both DTF and PDC. Two different cortical networks were detected, one constant across the task and the other evolving during the preparation of the joint movement.
Time-varying cortical connectivity by adaptive multivariate estimators applied to a combined foot-lips movement / Astolfi, Laura; Cincotti, Febo; D., Mattia; DE VICO FALLANI, Fabrizio; Colosimo, Alfredo; Salinari, Serenella; M. G., Marciani; M., Ursino; M., Zavaglia; W., Hesse; H., Witte; Babiloni, Fabio. - 2007:(2007), pp. 4402-4405. (Intervento presentato al convegno 29th Annual International Conference of the IEEE-Engineering-in-Medicine-and-Biology-Society tenutosi a Lyon, FRANCE nel AUG 22-26, 2007) [10.1109/iembs.2007.4353314].
Time-varying cortical connectivity by adaptive multivariate estimators applied to a combined foot-lips movement
ASTOLFI, LAURA;CINCOTTI, FEBO;DE VICO FALLANI, FABRIZIO;COLOSIMO, Alfredo;SALINARI, Serenella;BABILONI, Fabio
2007
Abstract
In this paper we propose the use of an adaptive multivariate approach to define time-varying multivariate estimators based on the Directed Transfer Function (DTF) and the Partial Directed Coherence (PDC). DTF and PDC are frequency-domain estimators that are able to describe interactions between cortical areas in terms of the concept of Granger causality. Time-varying DTF and PDC were obtained by the adaptive recursive fit of an MVAR model with time-dependent parameters, by means of a generalized recursive least-square (RLS) algorithm, taking into consideration a set of EEG epochs. Such estimators are able to follow rapid changes in the connectivity between cortical areas during an experimental task We provide an application to the cortical estimations obtained from high resolution EEG data, recorded from a group of healthy subject during a combined foot-tips movement, and present the time-varying connectivity patterns resulting from the application of both DTF and PDC. Two different cortical networks were detected, one constant across the task and the other evolving during the preparation of the joint movement.File | Dimensione | Formato | |
---|---|---|---|
VE_2007_11573-381634.pdf
solo gestori archivio
Tipologia:
Versione editoriale (versione pubblicata con il layout dell'editore)
Licenza:
Tutti i diritti riservati (All rights reserved)
Dimensione
466.2 kB
Formato
Adobe PDF
|
466.2 kB | Adobe PDF | Contatta l'autore |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.